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A membrane permeability database for nonpeptidic macrocycles.

Authors :
Feng, Qiushi
De Chavez, Danjo
Kihlberg, Jan
Poongavanam, Vasanthanathan
Source :
Scientific Data; 1/3/2025, Vol. 12 Issue 1, p1-11, 11p
Publication Year :
2025

Abstract

The process of developing new drugs is arduous and costly, particularly for targets classified as "difficult-to-drug." Macrocycles show a particular ability to modulate difficult-to-drug targets, including protein-protein interactions, while still allowing oral administration. However, the determination of membrane permeability, critical for reaching intracellular targets and for oral bioavailability, is laborious and expensive. In silico methods are a cost-effective alternative, enabling predictions prior to compound synthesis. Here, we present a comprehensive online database (https://swemacrocycledb.com/), housing 5638 membrane permeability datapoints for 4216 nonpeptidic macrocycles, curated from the literature, patents, and bioactivity repositories. In addition, we present a new descriptor, the "amide ratio" (AR), that quantifies the peptidic nature of macrocyclic compounds, enabling the classification of peptidic, semipeptidic, and nonpeptidic macrocycles. Overall, this resource fills a gap among existing databases, offering valuable insights into the membrane permeability of nonpeptidic and semipeptidic macrocycles, and facilitating predictions for drug discovery projects. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20524463
Volume :
12
Issue :
1
Database :
Complementary Index
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
182076731
Full Text :
https://doi.org/10.1038/s41597-024-04302-z